Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid Stoffw Microb

Schulte, EC; Kondofersky, I; Budde, M; Papiol, S; Senner, F; Schaupp, SK; Reich-Erkelenz, D; Klöhn-Saghatolislam, F; Kalman, JL; Gade, K; Hake, M; Comes, AL; Anderson-Schmidt, H; Adorjan, K; Juckel, G; Schmauß, M; Zimmermann, J; Reimer, J; Wiltfang, J; Reininghaus, EZ; Anghelescu, IG; Konrad, C; Figge, C; von, Hagen, M; Jäger, M; Dietrich, DE; Spitzer, C; Witt, SH; Forstner, AJ; Rietschel, M; Nöthen, MM; Falkai, P; Heilbronner, U; Mueller, NS; Schulze, TG.
A novel longitudinal clustering approach to psychopathology across diagnostic entities in the hospital-based PsyCourse study.
Schizophr Res. 2022; 244: 29-38. Doi: 10.1016/j.schres.2022.05.001
Web of Science PubMed FullText FullText_MUG

 

Co-Autor*innen der Med Uni Graz
Reininghaus Eva
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
Biological research and clinical management in psychiatry face two major impediments: the high degree of overlap in psychopathology between diagnoses and the inherent heterogeneity with regard to severity. Here, we aim to stratify cases into homogeneous transdiagnostic subgroups using psychometric information with the ultimate aim of identifying individuals with higher risk for severe illness. 397 participants of the PsyCourse study with schizophrenia- or bipolar-spectrum diagnoses were prospectively phenotyped over 18 months. Factor analysis of mixed data of different rating scales and subsequent longitudinal clustering were used to cluster disease trajectories. Five clusters of longitudinal trajectories were identified in the psychopathologic dimensions. Clusters differed significantly with regard to Global Assessment of Functioning, disease course, and-in some cases-diagnosis while there were no significant differences regarding sex, age at baseline or onset, duration of illness, or polygenic burden for schizophrenia. Longitudinal clustering may aid in identifying transdiagnostic homogeneous subgroups of individuals with severe psychiatric disease.
Find related publications in this database (using NLM MeSH Indexing)
Bipolar Disorder - diagnosis, epidemiology, psychology
Cluster Analysis - administration & dosage
Hospitals - administration & dosage
Humans - administration & dosage
Mental Disorders - diagnosis, epidemiology
Psychopathology - administration & dosage

Find related publications in this database (Keywords)
Cluster analysis
Machine learning
Schizophrenia
Bipolar disorder
Psychopathology
© Med Uni Graz Impressum